Abstract: The multi-objective resource allocation problem addresses the important issue which seeks to find the expected objectives by allocating the limited amount of resource to various activates.The mathematical model of multi-objective resource allocation problems is proposed, and an improved ant colony optimization algorithm is proposed to multi-objective resource allocation problems.In the proposed approach, the feasible solution construction mechanism is designed firstly, both the pheromone form and its updating rule are designed and a new probability selection method is proposed.All these works improve the performance of ant colony optimization algorithm.Effectiveness and efficiency of this algorithm was validated by comparing the result of this method with a hybrid genetic algorithm.